Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/85672
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dc.contributor.authorBean, N.G.en
dc.contributor.authorLi, J.en
dc.contributor.authorTaylor, P.G.en
dc.date.issued1998en
dc.identifier.citationAdvances in matrix-analytic methods for stochastic models, 1998 / Alfa, A.S., Chakravarthy, S.R. (ed./s), pp.171-194en
dc.identifier.isbn0966584708en
dc.identifier.isbn9780966584707en
dc.identifier.urihttp://hdl.handle.net/2440/85672-
dc.description.abstractFor a two-stage tandem network of PHPH queues, Fujimoto and Takahashi observed that the steady-state joint queue-length distribution has an asymptotic product-form as the number of customers in the system becomes large. Moreover, they noted that when the traffic intensity at the second queue is large, there appear to be two different asymptotic regimes. In this paper we give a detailed examination of the asymptotic properties of such a tandem queue by constructing two quasi-birth-and-death QBD models and provide an explanation for the results of Fujimoto and Takahashi. The matrix-analytic approach provides a unified framework which explains the asymptotic behaviour of the steady-state joint queue-length probabilities. The approach in this paper can be extended to general doubly-infinite QBDs and to multi-dimensional QBDs.en
dc.description.statementofresponsibilityN. G. Bean, Jian-Min Li and P. G. Tayloren
dc.language.isoenen
dc.publisherNotable Publications, Incorporateden
dc.rightsCopyright status unknownen
dc.subjectMarkov processesen
dc.titleSome asymptotic properties of two-stage tandem networks of PH/PH/1 queuesen
dc.typeConference paperen
dc.identifier.rmid0030008692en
dc.contributor.conferenceSecond International Conference on Matrix-Analytic Methods in Stochastic Models (24 Jul 1998 - 25 Jul 1998 : Winnipeg, Canada)en
dc.identifier.pubid81624-
pubs.library.collectionMathematical Sciences publicationsen
pubs.library.teamDS01en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidBean, N.G. [0000-0002-5351-3104]en
Appears in Collections:Mathematical Sciences publications

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